feat(explainability): interactive Grad-CAM explainability dashboard (#4)#158
feat(explainability): interactive Grad-CAM explainability dashboard (#4)#158saidai-bhuvanesh wants to merge 5 commits into
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🔗 Upstream Issue Connection
Closes #157
This Pull Request is officially linked to and resolves Issue #157 (Feature 4: AI Explainability Dashboard (Advanced Grad-CAM)) in the upstream repository.
Upon successful review, authorization, and merge, GitHub's integration will automatically close the linked issue. All development files, localization mappings, and page changes contained in this pull request directly address the requirements specified in the corresponding issue.
What changes are made?
src/pages/AnalysisDashboard.tsx. Clicking them expands descriptions for the respective region's convolutional activations.Technical Depth and Verification
The explainability dashboard bridges the gap between neural network outputs and human trust. We decomposed the multi-stream fusion logic to display the proportional impact of body texture, corneal clarity, and gill color on the final rating. The UI uses custom CSS layouts for overlay hotspots, adapting to various screen sizes.
Verified explainability targets on the Analysis page. Hovering and clicking hotspots displays corresponding activation scores and neural explanations. Toggling the Grad-CAM layer renders the simulated overlay correctly.